Graph Neural Networks

Creating 3D Models from Flat 2D Images
March 10, 2020
Ambient Computing Expands
March 10, 2020

Graph Neural Networks

Researchers at Google are building graph neural networks—a particular type of deep neural network that operates on graphs as inputs—to predict odors at a molecular level.

Predicting the way something will smell is incredibly complex. That’s because we perceive scents using the millions of sensory neurons in our brains—and because scents are multi-faceted. For example, how would you describe the smell of an orange? Sweet? Bright? Grassy? Each descriptor is unique. Classifying smell is tricky because it requires a multi-label system.

Researchers at Google are building graph neural networks—a particular type of deep neural network that operates on graphs as inputs—to predict odors at a molecular level.